Probing Multiscale Complex Multiphase Flows with Positrons for Engineering and Biomedical Applications
Lead Research Organisation:
University of Birmingham
Department Name: Chemical Engineering
Abstract
A vital challenge for modern engineering is the modelling of the multiscale complex particle-liquid flows at the heart of numerous industrial and physiological processes. Industries dependent on such flows include food, chemicals, consumer goods, pharmaceuticals, oil, mining, river engineering, construction, power generation, biotechnology and medicine. Despite this large range of application areas, industrial practice and processes and clinical practice are neither efficient nor optimal because of a lack of fundamental understanding of the complex, multiscale phenomena involved. Flows may be turbulent or viscous and the carrier fluid may exhibit complex non-Newtonian rheology. Particles have various shapes, sizes, densities, bulk and surface properties. The ability to understand multiscale particle-liquid flows and predict them reliably would offer tremendous economic, scientific and societal benefits to the UK. Our fundamental understanding has so far been restricted by huge practical difficulties in imaging such flows and measuring their local properties. Mixtures of practical interest are often concentrated and opaque so that optical flow visualisation is impossible. We propose to overcome this problem using the technique of positron emission particle tracking (PEPT) which relies on radiation that penetrates opaque materials. We will advance the fundamental physics of multiscale particle-liquid flows in engineering and physiology through an exceptional experimental and theoretical effort, delivering a step change in our ability to image, model, analyse, and predict these flows. We will develop: (i) unique transformative Lagrangian PEPT diagnostic methodology for engineering and physiological flows; and (ii) innovative Lagrangian theories for the analysis of the phenomena uncovered by our measurements.
The University of Birmingham Positron Imaging Centre, where the PEPT technique was invented, is unique in the world in its use of positron-emitting radioactive tracers to study engineering processes. In PEPT, a single radiolabelled particle is used as a flow follower and tracked through positron detection. Thus, each component in a multiphase particle-liquid flow can be labelled and its behaviour observed. Compared with leading optical laser techniques (e.g. LDV, PIV), PEPT has the enormous and unique advantage that it can image opaque fluids, and fluids inside opaque apparatus and the human body. To make the most of this and image fast, complex multiphase and multiscale flows in aqueous systems, improved tracking sensitivity and accuracy, dedicated new radiotracers and simultaneous tracking of multiple tracers must be developed, and new theoretical frameworks must be devised to analyse and interpret the data. By delivering this, we will enable multiscale complex particle-liquid flows to be studied with unprecedented detail and resolution in regimes and configurations hitherto inaccessible to any available technique. The benefits will be far-reaching since the range of applications of PEPT in engineering and medicine is extremely wide.
This multidisciplinary Programme harnesses the synergy between world-leading centres at Birmingham (chemical engineering, physics), Edinburgh (applied maths) and King's College London (PET chemistry, biomedical engineering) to develop unique PEPT diagnostic tools, and to study experimentally and theoretically outstanding multiscale multiphase flow problems which can only be tackled by these tools. The advances of the Programme include: a novel microPEPT device designed to image microscale flows, and a novel medical PEPT validated in small animals for translation to humans. The investigators' combined strengths and the accompanying wide-ranging industrial collaborations, will ensure that this Programme leads to a paradigm-shift in complex multiphase flow research.
The University of Birmingham Positron Imaging Centre, where the PEPT technique was invented, is unique in the world in its use of positron-emitting radioactive tracers to study engineering processes. In PEPT, a single radiolabelled particle is used as a flow follower and tracked through positron detection. Thus, each component in a multiphase particle-liquid flow can be labelled and its behaviour observed. Compared with leading optical laser techniques (e.g. LDV, PIV), PEPT has the enormous and unique advantage that it can image opaque fluids, and fluids inside opaque apparatus and the human body. To make the most of this and image fast, complex multiphase and multiscale flows in aqueous systems, improved tracking sensitivity and accuracy, dedicated new radiotracers and simultaneous tracking of multiple tracers must be developed, and new theoretical frameworks must be devised to analyse and interpret the data. By delivering this, we will enable multiscale complex particle-liquid flows to be studied with unprecedented detail and resolution in regimes and configurations hitherto inaccessible to any available technique. The benefits will be far-reaching since the range of applications of PEPT in engineering and medicine is extremely wide.
This multidisciplinary Programme harnesses the synergy between world-leading centres at Birmingham (chemical engineering, physics), Edinburgh (applied maths) and King's College London (PET chemistry, biomedical engineering) to develop unique PEPT diagnostic tools, and to study experimentally and theoretically outstanding multiscale multiphase flow problems which can only be tackled by these tools. The advances of the Programme include: a novel microPEPT device designed to image microscale flows, and a novel medical PEPT validated in small animals for translation to humans. The investigators' combined strengths and the accompanying wide-ranging industrial collaborations, will ensure that this Programme leads to a paradigm-shift in complex multiphase flow research.
Planned Impact
Multiscale complex particle-liquid flows challenge our understanding of multiphase physics. The complex fluid-particle-wall interactions and particle morphological transformations require modelling innovations to improve existing multiphase fluid science and industrial and medical practice. The issues at stake engage academics looking to probe, understand and model these complex multiphase flows, and industrialists seeking to exploit their properties for new applications or enhance existing ones through systematic understanding rather than trial and error. Multiscale particle-liquid flows are a generic problem posing immense scientific challenges to both academia and industries (e.g. chemicals, consumer goods, food, pharmaceuticals, energy, mining, river engineering, construction, biotechnology, healthcare) with global annual revenues of hundreds of billions of dollars. They enjoy a strong UK position, so process improvements arising from the proposed research could generate multi-million pound savings.
This research will deliver high impact across disciplinary boundaries between many EPSRC research areas (e.g. sensors, instrumentation, fluid dynamics, particle technology, complex fluids and rheology, non-linear systems, continuum mechanics) related to several EPSRC themes: Engineering, Manufacturing the Future, Mathematical Sciences, Physical Sciences and Healthcare Technologies. It will specifically address the "optimising treatment" EPSRC Healthcare Technologies Grand Challenge.
The PG is pre-competitive, aiming to develop novel experimental and theoretical methodologies to address real problems across a wide range of industries and medicine. It is supported by (i) world-leading companies: Unilever (consumer products); Mondelez (confectionery); Campden BRI (all food industry sectors); Briggs of Burton (food/pharma processing equipment); Imerys (minerals); Bristol-Myers Squibb (pharmaceuticals); AstraZeneca (pharmaceuticals); Theragnostics (radiopharmaceutical cold kits); GE Healthcare (medical diagnostics); Siemens (medical imaging); (ii) NHS hospitals (Birmingham Children's, Guy's and St Thomas', and the King's College London PET Imaging Centre); (iii) academic centres in USA, Canada, Hong Kong and South Africa; and (iv) a panel of seven clinical experts.
These partners represent a wide range of commercial/research interests. They will quickly benefit from the new knowledge in their priority areas, and following our dissemination programme, other companies will benefit. The Programme will be developed and implemented with engagement with our partners, both collectively and separately, to address the most pertinent problems relating to engineering and biomedical applications and applications that benefit their businesses and research, as outlined in their letters of support. These collaborations will ensure dissemination, knowledge transfer and impact delivery and will expedite translation of research outcomes into industrial markets and clinical applications. By the end of this PG we anticipate solutions to problems in processing and manufacturing and genesis of new technologies in biomedical engineering, such as a medical PEPT that can be taken to point of care and will impact people's health, new patentable radiotracers that are marketable in the form of "cold kits" for instant radiolabelling on the hospital site, PET scanners able to implement the algorithms developed for clinical use, and particle acceleration analysis software for measuring local arterial blood pressure. We will widen our potential audience by engaging with the relevant sections of the KTN, the High Value Catapult and other research areas (e.g. MRC for medicine, NERC for hydrology). We will also Link with the National Formulation Centre and engage the EPSRC Mathematics in Healthcare Centres at Exeter and Glasgow. Through our Positron Imaging Centre we will attract more users from academia and industry for our new PEPT capabilities.
This research will deliver high impact across disciplinary boundaries between many EPSRC research areas (e.g. sensors, instrumentation, fluid dynamics, particle technology, complex fluids and rheology, non-linear systems, continuum mechanics) related to several EPSRC themes: Engineering, Manufacturing the Future, Mathematical Sciences, Physical Sciences and Healthcare Technologies. It will specifically address the "optimising treatment" EPSRC Healthcare Technologies Grand Challenge.
The PG is pre-competitive, aiming to develop novel experimental and theoretical methodologies to address real problems across a wide range of industries and medicine. It is supported by (i) world-leading companies: Unilever (consumer products); Mondelez (confectionery); Campden BRI (all food industry sectors); Briggs of Burton (food/pharma processing equipment); Imerys (minerals); Bristol-Myers Squibb (pharmaceuticals); AstraZeneca (pharmaceuticals); Theragnostics (radiopharmaceutical cold kits); GE Healthcare (medical diagnostics); Siemens (medical imaging); (ii) NHS hospitals (Birmingham Children's, Guy's and St Thomas', and the King's College London PET Imaging Centre); (iii) academic centres in USA, Canada, Hong Kong and South Africa; and (iv) a panel of seven clinical experts.
These partners represent a wide range of commercial/research interests. They will quickly benefit from the new knowledge in their priority areas, and following our dissemination programme, other companies will benefit. The Programme will be developed and implemented with engagement with our partners, both collectively and separately, to address the most pertinent problems relating to engineering and biomedical applications and applications that benefit their businesses and research, as outlined in their letters of support. These collaborations will ensure dissemination, knowledge transfer and impact delivery and will expedite translation of research outcomes into industrial markets and clinical applications. By the end of this PG we anticipate solutions to problems in processing and manufacturing and genesis of new technologies in biomedical engineering, such as a medical PEPT that can be taken to point of care and will impact people's health, new patentable radiotracers that are marketable in the form of "cold kits" for instant radiolabelling on the hospital site, PET scanners able to implement the algorithms developed for clinical use, and particle acceleration analysis software for measuring local arterial blood pressure. We will widen our potential audience by engaging with the relevant sections of the KTN, the High Value Catapult and other research areas (e.g. MRC for medicine, NERC for hydrology). We will also Link with the National Formulation Centre and engage the EPSRC Mathematics in Healthcare Centres at Exeter and Glasgow. Through our Positron Imaging Centre we will attract more users from academia and industry for our new PEPT capabilities.
Organisations
- University of Birmingham (Lead Research Organisation)
- Levco Pharmaceuticals (Collaboration)
- AstraZeneca (Collaboration)
- Lipomedix (Collaboration)
- Altra Cyclotron Services Ltd (Collaboration)
- UNIVERSITY OF SYDNEY (Collaboration)
- University of Tennessee at Knoxville (Project Partner)
- Unilever (United Kingdom) (Project Partner)
- Bristol-Myers Squibb (United Kingdom) (Project Partner)
- Imerys (United Kingdom) (Project Partner)
- General Electric (United Kingdom) (Project Partner)
- University of Cape Town (Project Partner)
- Siemens plc (UK) (Project Partner)
- Birmingham Children's Hospital (Project Partner)
- Mondelez UK R and D Ltd (Project Partner)
- AstraZeneca (United Kingdom) (Project Partner)
- Briggs of Burton PLC (Project Partner)
- University of British Columbia (Project Partner)
- Stanford University (Project Partner)
- King's College London (Project Partner)
- Theragnostics Ltd (Project Partner)
- City University of Hong Kong (Project Partner)
- Campden BRI (United Kingdom) (Project Partner)
- University of Wisconsin–Madison (Project Partner)
Publications
Khan AA
(2021)
Radiolabelling of Extracellular Vesicles for PET and SPECT imaging.
in Nanotheranostics
Li K
(2023)
Predicting complex multicomponent particle-liquid flow in a mechanically agitated vessel via machine learning
in Physics of Fluids
Li K
(2022)
Computation of Lagrangian coherent structures from experimental fluid trajectory measurements in a mechanically agitated vessel
in Chemical Engineering Science
Li K
(2023)
A data-driven machine learning framework for modeling of turbulent mixing flows
in Physics of Fluids
Title | PEPT - Wholebody 60s KCL logo |
Description | PEPT tracking (first 60 seconds after intravenous injection) of a single 68Ga-labelled sub-micron silica particle (68Ga-smSiP). Lungs are delimited in yellow and heart in blue for clarity, |
Type Of Art | Film/Video/Animation |
Year Produced | 2024 |
URL | https://kcl.figshare.com/articles/media/PEPT_-_Wholebody_60s_KCL_logo/24033966 |
Description | Various data-driven modelling strategies have been developed for predicting complex particulate flows, which will have a significant impact on studying and modelling these complex systems both in academia, research and industry. These models will also cut down substantially on expensive experimentation, thus, saving on costs and increasing efficiency. The models have been widely disseminated to the relevant academic, research and industry communities via numerous journal publications and national/international conference presentations. |
Exploitation Route | The outcomes of this research will be taken forward by the relevant academic, research and industry communities. |
Sectors | Agriculture Food and Drink Chemicals Construction Digital/Communication/Information Technologies (including Software) Education Energy Environment Healthcare Manufacturing including Industrial Biotechology Pharmaceuticals and Medical Biotechnology |
Description | A multiuser radioanalytical facility for molecular imaging and radionuclide therapy research |
Amount | ÂŁ896,850 (GBP) |
Funding ID | 212885 |
Organisation | Wellcome Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2019 |
End | 01/2024 |
Description | China Scholarship |
Amount | ÂŁ60,000 (GBP) |
Funding ID | PhD student: Zhuangjian Yang |
Organisation | University of Birmingham |
Sector | Academic/University |
Country | United Kingdom |
Start | 08/2019 |
End | 09/2022 |
Description | China Scholarship |
Amount | ÂŁ60,000 (GBP) |
Funding ID | PhD student: Xue Lian |
Organisation | University of Birmingham |
Sector | Academic/University |
Country | United Kingdom |
Start | 08/2020 |
End | 09/2023 |
Description | Confidence in Collaboration in Advanced Therapies Award |
Amount | ÂŁ99,151 (GBP) |
Organisation | United Kingdom Research and Innovation |
Department | Research England |
Sector | Public |
Country | United Kingdom |
Start | 01/2020 |
End | 06/2021 |
Description | EPSRC Doctoral Training Account |
Amount | ÂŁ60,000 (GBP) |
Funding ID | PhD Student: Arturo Salazar |
Organisation | University of Birmingham |
Sector | Academic/University |
Country | United Kingdom |
Start | 12/2020 |
End | 12/2023 |
Description | EPSRC Doctoral Training Account |
Amount | ÂŁ60,000 (GBP) |
Funding ID | PhD student: Hamzah Sheikh |
Organisation | University of Birmingham |
Sector | Academic/University |
Country | United Kingdom |
Start | 09/2018 |
End | 09/2021 |
Description | PhD studentship, U of Edinburgh: Aidan Tully |
Amount | ÂŁ60,000 (GBP) |
Organisation | University of Edinburgh |
Sector | Academic/University |
Country | United Kingdom |
Start | 08/2021 |
End | 08/2025 |
Title | Development of modular PEPT camera for pipeline flow studies |
Description | The modular PEPT camera previously developed at Birmingham has been reconfigured in a cylindrical geometry and updated with newer electronics to act as an interim facility for PEPT studies of pipeline flow pending the development of the new SuperPEPT camera. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2019 |
Provided To Others? | No |
Impact | Enables methodology for PEPT studies to be developed and optimised prior to development of the new camera. |
Title | Inversion of PEPT data |
Description | Method for the reconstitution of particle trajectory data from PEPT raw measurement based on expectation maximisation algorithm. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2020 |
Provided To Others? | No |
Impact | The method should enable tracking the trajectories of c100 particles at the same time. |
Title | text_figures_tables.zip from Predicting left ventricular contractile function via Gaussian process emulation in aortic-banded rats |
Description | Cardiac contraction is the result of integrated cellular, tissue and organ function. Biophysical in silico cardiac models offer a systematic approach for studying these multi-scale interactions. The computational cost of such models is high, due to their multi-parametric and nonlinear nature. This has so far made it difficult to perform model fitting and prevented global sensitivity analysis (GSA) studies. We propose a machine learning approach based on Gaussian process emulation of model simulations using probabilistic surrogate models, which enables model parameter inference via a Bayesian history matching (HM) technique and GSA on whole-organ mechanics. This framework is applied to model healthy and aortic-banded hypertensive rats, a commonly used animal model of heart failure disease. The obtained probabilistic surrogate models accurately predicted the left ventricular pump function (R2 = 0.92 for ejection fraction). The HM technique allowed us to fit both the control and diseased virtual bi-ventricular rat heart models to magnetic resonance imaging and literature data, with model outputs from the constrained parameter space falling within 2 SD of the respective experimental values. The GSA identified Troponin C and cross-bridge kinetics as key parameters in determining both systolic and diastolic ventricular function.This article is part of the theme issue 'Uncertainty quantification in cardiac and cardiovascular modelling and simulation'. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://rs.figshare.com/articles/text_figures_tables_zip_from_Predicting_left_ventricular_contractil... |
Title | text_figures_tables.zip from Predicting left ventricular contractile function via Gaussian process emulation in aortic-banded rats |
Description | Cardiac contraction is the result of integrated cellular, tissue and organ function. Biophysical in silico cardiac models offer a systematic approach for studying these multi-scale interactions. The computational cost of such models is high, due to their multi-parametric and nonlinear nature. This has so far made it difficult to perform model fitting and prevented global sensitivity analysis (GSA) studies. We propose a machine learning approach based on Gaussian process emulation of model simulations using probabilistic surrogate models, which enables model parameter inference via a Bayesian history matching (HM) technique and GSA on whole-organ mechanics. This framework is applied to model healthy and aortic-banded hypertensive rats, a commonly used animal model of heart failure disease. The obtained probabilistic surrogate models accurately predicted the left ventricular pump function (R2 = 0.92 for ejection fraction). The HM technique allowed us to fit both the control and diseased virtual bi-ventricular rat heart models to magnetic resonance imaging and literature data, with model outputs from the constrained parameter space falling within 2 SD of the respective experimental values. The GSA identified Troponin C and cross-bridge kinetics as key parameters in determining both systolic and diastolic ventricular function.This article is part of the theme issue 'Uncertainty quantification in cardiac and cardiovascular modelling and simulation'. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://rs.figshare.com/articles/text_figures_tables_zip_from_Predicting_left_ventricular_contractil... |
Title | text_figures_tables.zip from Predicting left ventricular contractile function via Gaussian process emulation in aortic-banded rats. 27 April 2020 |
Description | Cardiac contraction is the result of integrated cellular, tissue and organ function. Biophysical in silico cardiac models offer a systematic approach for studying these multi-scale interactions. The computational cost of such models is high, due to their multi-parametric and nonlinear nature. This has so far made it difficult to perform model fitting and prevented global sensitivity analysis (GSA) studies. We propose a machine learning approach based on Gaussian process emulation of model simulations using probabilistic surrogate models, which enables model parameter inference via a Bayesian history matching (HM) technique and GSA on whole-organ mechanics. This framework is applied to model healthy and aortic-banded hypertensive rats, a commonly used animal model of heart failure disease. The obtained probabilistic surrogate models accurately predicted the left ventricular pump function (R2 = 0.92 for ejection fraction). The HM technique allowed us to fit both the control and diseased virtual bi-ventricular rat heart models to magnetic resonance imaging and literature data, with model outputs from the constrained parameter space falling within 2 SD of the respective experimental values. The GSA identified Troponin C and cross-bridge kinetics as key parameters in determining both systolic and diastolic ventricular function.This article is part of the theme issue 'Uncertainty quantification in cardiac and cardiovascular modelling and simulation'. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://rs.figshare.com/articles/text_figures_tables_zip_from_Predicting_left_ventricular_contractil... |
Description | Academic Collaboration with Altra Cyclotron Services Ltd and the University of Birmingham |
Organisation | Altra Cyclotron Services Ltd |
Country | United Kingdom |
Sector | Private |
PI Contribution | Collaborative work to deign new processes to produce radionuclides including; Cu-64, Zn-62 and Mn-52. |
Collaborator Contribution | Supply of irradiated materials that are transported to KCL for processing and production of radionuclides. |
Impact | Production of radionuclides that are used in further work. |
Start Year | 2019 |
Description | Collaboration with AstraZeneca |
Organisation | AstraZeneca |
Country | United Kingdom |
Sector | Private |
PI Contribution | Expertise and intellectual input on novel imaging methods to develop and evaluate the novel nanoparticle-based drug delivery systems developed by the company |
Collaborator Contribution | In kind contribution of novel drug delivery systems and nanomedicines, expertise and intellectual inpout on these systems, access to facilities |
Impact | None yet |
Start Year | 2020 |
Description | Collaboration with AstraZeneca |
Organisation | AstraZeneca |
Country | United Kingdom |
Sector | Private |
PI Contribution | Expertise and intellectual input on novel imaging methods to develop and evaluate the novel nanoparticle-based drug delivery systems developed by the company |
Collaborator Contribution | In kind contribution of novel drug delivery systems and nanomedicines, expertise and intellectual inpout on these systems, access to facilities |
Impact | None yet |
Start Year | 2020 |
Description | Collaboration with Levco Pharmaceuticals |
Organisation | Levco Pharmaceuticals |
Country | Israel |
Sector | Private |
PI Contribution | Expertise and intellectual input on novel imaging methods to develop and evaluate the novel nanoparticle-based drug delivery systems developed by the company |
Collaborator Contribution | In kind contribution of novel drug delivery systems and nanomedicines, expertise and intellectual input on these systems, access to facilities |
Impact | none yet |
Start Year | 2021 |
Description | Collaboration with LipoMedix |
Organisation | Lipomedix |
Country | Israel |
Sector | Private |
PI Contribution | Expertise and intellectual input on novel imaging methods to develop and evaluate the novel nanoparticle-based drug delivery systems developed by the company |
Collaborator Contribution | In kind contribution of novel drug delivery systems and nanomedicines, expertise and intellectual input on these systems |
Impact | Man, F, Lim, L, Volpe, A, Gabizon, A, Shmeeda, H, Draper, B, Parente-Pereira, AC, Maher, J, Blower, PJ, Fruhwirth, GO & T. M. de Rosales, R*, In vivo PET Tracking of 89Zr-labeled V?9Vd2 T-cells to Mouse Xenograft Breast Tumors Activated with Liposomal Alendronate, Molecular Therapy, 2019, 27, 219-229 Gabizon AA, de Rosales RTM, La-Beck NM. Translational considerations in nanomedicine: The oncology perspective. Adv Drug Deliv Rev. 2020;158:140-157. |
Start Year | 2019 |
Description | Collaboration with LipoMedix |
Organisation | Lipomedix |
Country | Israel |
Sector | Private |
PI Contribution | Expertise and intellectual input on novel imaging methods to develop and evaluate the novel nanoparticle-based drug delivery systems developed by the company |
Collaborator Contribution | In kind contribution of novel drug delivery systems and nanomedicines, expertise and intellectual input on these systems |
Impact | Man, F, Lim, L, Volpe, A, Gabizon, A, Shmeeda, H, Draper, B, Parente-Pereira, AC, Maher, J, Blower, PJ, Fruhwirth, GO & T. M. de Rosales, R*, In vivo PET Tracking of 89Zr-labeled V?9Vd2 T-cells to Mouse Xenograft Breast Tumors Activated with Liposomal Alendronate, Molecular Therapy, 2019, 27, 219-229 Gabizon AA, de Rosales RTM, La-Beck NM. Translational considerations in nanomedicine: The oncology perspective. Adv Drug Deliv Rev. 2020;158:140-157. |
Start Year | 2019 |
Description | University of Sydney |
Organisation | University of Sydney |
Country | Australia |
Sector | Academic/University |
PI Contribution | Academic expertise in the modelling of red blood cells. Intellectual input. |
Collaborator Contribution | Academic expertise. Experimental data. Intellectual input. |
Impact | A publication is in preparation |
Start Year | 2019 |
Description | Isaac Newton Meeting |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | Organised meeting and presentation at Isaac Newton Meeting |
Year(s) Of Engagement Activity | 2019 |
URL | https://www.newton.ac.uk/event/fht |
Description | John Hopkins University |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | Invited talk John Hopkins University |
Year(s) Of Engagement Activity | 2019 |
URL | https://icm.jhu.edu/events/steven-niederer-kings-college-london-applying-cardiac-modelling-to-study-... |
Description | Mox invited talk |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | invited presentation to numerics group in Milan |
Year(s) Of Engagement Activity | 2019 |
URL | https://mox.polimi.it/elenco-seminari/?id_evento=1919&t=763721&ricerca= |
Description | Murdoch Children's Research Institute |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | Invited presentation at Murdoch Children's Research Institute, |
Year(s) Of Engagement Activity | 2019 |
Description | Outreach to Sixth-Form School Students |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Schools |
Results and Impact | In January 2020, 32 secondary school students from across the UK visited the University of Birmingham, School of Chemical Engineering. The students observed pilot-scale experiments on particle-liquid flow in a pipeline. The interaction was very intense with questions about applications of our project and how the work resolves long standing issues in different process industries and in medicine which depend on such complex multiphase flows, e.g food processing, river engineering, hydraulic conveying, blood flow. |
Year(s) Of Engagement Activity | 2020 |
Description | Outreach to Sixth-Form School Students |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Schools |
Results and Impact | 45 secondary school students from across the UK visited the University of Birmingham, School of Chemical Engineering, in February 2020. The students observed pilot-scale experiments on particle-liquid flow in a pipeline. The interaction was very intense with questions about applications of our project and how the work resolves long standing issues in different process industries and in medicine which depend on such complex multiphase flows, e.g food processing, river engineering, hydraulic conveying, blood flow. |
Year(s) Of Engagement Activity | 2020 |
Description | Outreach to Sixth-Form School Students |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Schools |
Results and Impact | 45 secondary school students from across the UK visited the University of Birmingham, School of Chemical Engineering, in February 2020. The students observed pilot-scale experiments on particle-liquid flow in a pipeline. The interaction was very intense with questions about applications of our project and how the work resolves long standing issues in different process industries and in medicine which depend on such complex multiphase flows, e.g food processing, river engineering, hydraulic conveying, blood flow. |
Year(s) Of Engagement Activity | 2020 |
Description | Outreach to Sixth-Form School Students |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Schools |
Results and Impact | 45 secondary school students from across the UK visited the University of Birmingham, School of Chemical Engineering, in February 2020. The students observed pilot-scale experiments on particle-liquid flow in a pipeline. The interaction was very intense with questions about applications of our project and how the work resolves long standing issues in different process industries and in medicine which depend on such complex multiphase flows, e.g food processing, river engineering, hydraulic conveying, blood flow. |
Year(s) Of Engagement Activity | 2020 |
Description | Outreach to Sixth-Form School Students |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Schools |
Results and Impact | 30 secondary school students from across the UK visited the University of Birmingham, School of Chemical Engineering. The students observed pilot-scale experiments on particle-liquid flow in a pipeline. The interaction was very intense with questions about applications of our project and how the work resolves long standing issues in different process industries and in medicine which depend on such complex multiphase flows, e.g food processing, river engineering, hydraulic conveying, blood flow. |
Year(s) Of Engagement Activity | 2020 |
Description | Philips |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Invited talk at Philips to discuss how we are developing digital twins. |
Year(s) Of Engagement Activity | 2019 |
Description | Pint of Science 2018 - Public engagement talk - "Where do drugs go inside your body?" by Dr Rafael T M. de Rosales |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Public/other audiences |
Results and Impact | Public engagement talk for about 50 people |
Year(s) Of Engagement Activity | 2018 |
URL | https://pintofscience.co.uk/event/molecular-surveillance-its-hot-stuff |
Description | Primary school talk / Burton on Trent - Science Week 2019 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Schools |
Results and Impact | Talk at primary school |
Year(s) Of Engagement Activity | 2019 |
Description | Prince Alfred Hospital |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Invited presentation at Prince Alfred Hospital |
Year(s) Of Engagement Activity | 2019 |
Description | Simula talk |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | I gave a presentation at Simula a norwegian research institute to about 40+ researchers. |
Year(s) Of Engagement Activity | 2020 |
URL | https://www.simula.no/simula-seminars-scientific-computing |
Description | St Vincent's Hospital |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Invited talk at St Vincent's Hospital |
Year(s) Of Engagement Activity | 2019 |
Description | TRM Lugano |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Invited presentation to biomedical engineering and clinical research workshop. |
Year(s) Of Engagement Activity | 2019 |
Description | Talk at Ecole Normale Supérieure de Lyon (France) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation of PEPT methodology and inversion technique to experts in particle/scalar mixing in fluids |
Year(s) Of Engagement Activity | 2019 |
Description | UCSD |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | Invited presentation at UCSD Biomedical Engineering department |
Year(s) Of Engagement Activity | 2019 |
Description | University of Auckland |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | Invited presentation at University of Auckland |
Year(s) Of Engagement Activity | 2019 |
Description | Victor Chang Sydney |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | Invited presentation at victor chang institute |
Year(s) Of Engagement Activity | 2019 |
Description | Yale |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | Invited presentation at the Biomedical Engineering deparmtent in Yale |
Year(s) Of Engagement Activity | 2019 |